Crystal-KV: Revolutionizing LLM Reasoning with Answer-First Approach

Crystal-KV introduces a groundbreaking KV cache management framework designed specifically for Chain of Thought reasoning in Large Language Models (LLMs). By prioritizing the final answer, this innovative approach promises significant improvements in throughput and faster response times, making LLMs even more efficient and effective.

• •Crystal-KV employs an answer-first principle to optimize KV cache management.
• •It utilizes an attention-based algorithm to efficiently evict less critical KV entries.
• •The framework dynamically adjusts the KV cache budget to amplify the importance of key components during Inference.